🔸 Full description 🔸

Are you ready to take your Python skills to the next level, but not sure how to proceed? Join instructor Nick Walter in this intermediate-level course, part two of his previous course Python for Non-Programmers, designed specifically for learners with little to no coding experience.Push your skill set with more advanced concepts and coding challenges by completing the three practice projects, including a weather forecaster, web scraper, and to-do list. Learn more about classes in object-oriented programming as well as functional programming tools and how to create, edit, and delete files. Get tips for running Python like a pro, coding it from anywhere, on any type of operating system. By the end of this course, youll have upgraded your toolkit as a developer and will feel more comfortable with Python coding.

📦 Exercice Files

🔅 Python: Working with Files

🔊 Author: Kathryn Hodge
🔸 Date: 2021-07-21
⏰ Duration: 1h 42m

🌀 Learn how you can use Python to automate operating system tasks, aggregate data across multiple sources, save results to files, and level up your Python applications.

📗 Topics: Process Automation, File Handling, Python

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📦 Exercice Files

🔅 Hands-On Introduction: Python

🔊 Author: Ronnie Sheer
🔸 Date: 2022-11-09
⏰ Duration: 1h 2m

🌀 Explore the fundamental skills you need to know as a coder to take your knowledge of Python to the next level.

📗 Topics: Python

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🔸 Full description 🔸

If youre an early-stage Python user looking to boost your professional game, you need to set aside the time—and bandwidth—to study up and advance your skills. Practice makes perfect, they say, so why not start right now? In this course, instructor Ronnie Sheer shows you the tools, techniques, and practical know-how of expert Python users, with twenty hands-on, interactive coding challenges to test out your skills as you go. Take your existing Python proficiency to the next level with tips on scope, strings, loops, CSV data, calculations, JSON data sets, web servers, and more. By the end of this course, youll be equipped with newly honed expert moves to keep learning on your upcoming projects.The best way to learn a language is to use it in practice. Thats why this course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that youll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.

🔅 Advanced Python: Practical Database Examples

🔊 Author: Kathryn Hodge
🔸 Date: 2023-05-08
⏰ Duration: 1h 48m

🌀 Level up as a Python developer working with databases in this advanced, skills-based course.

📗 Topics: Database Development, Python

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🔸 Full description 🔸

Looking for a hands-on opportunity to take your Python skills to the next level? In this course, instructor Kathryn Hodge takes you through a series of practical database examples to help level up your Python applications.Learn how to create an API that serves data from a database using FastAPI, Flask, MySQL, Postman, SQLAlchemy, endpoints, and more. Get proven tips on how to develop analysis applications with pandas, the high-performance Python library featuring robust and integrated built-in data structures. Test out your new coding skills as you go in the exercise challenges at the end of each section. By the end of this course, youll be ready to start building full-stack task list applications with Flask, a microframework designed uniquely for Python that lets you integrate data from a database directly to an app.

🔅 Using Python with Excel

🔊 Author: Anthony Sagely
🔸 Date: 2019-10-31
⏰ Duration: 1h 22m

🌀 Take your Excel skills further by using Python. Discover how to inspect, filter, clean, convert, and visualize data with Excel and Python libraries like pandas and openpyxl.

📗 Topics: Microsoft Excel, Python

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🔸 Full description 🔸

Python is the world's fastest growing programming language. It's a powerful tool that is helping to streamline development and data science. In this course from Madecraft, you can learn how to combine the power of the Python language with the data analysis and reporting tools in Microsoft Excel. Discover how to leverage the pandas and openpyxl libraries to inspect, filter, clean, and convert data and how to build solid reports that help businesses take action. Discover how to work with large amounts of data that would be unmanageable in Excel alone. By the end of this course, viewers will learn how this combination of tools can lead businesses to better insights than ever before.

This course was created by Madecraft. We are pleased to host this content in our library.

📦 Exercice Files

🔅 Managing Python Projects

🔊 Author: Miki Tebeka
🔸 Date: 2019-12-06
⏰ Duration: 48m

🌀 Get tips for efficiently managing your Python projects. Learn how to help your team stay coordinated as you bring your projects to the finish line.

📗 Topics: Python

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🔸 Full description 🔸

While the work of coding can be a solitary endeavor, software developers don't work in a vacuum. In order to successfully bring their projects to the finish line, they must spend their days coordinating effectively with other developers. In this course, join Miki Tebeka as he shares best practices and tips for efficiently managing Python projects. Miki covers the essential non-coding tasks around Python programming, including how to best approach the directory structure for a project, tackle challenges related to dependency management, and determine what (and how much) to test. Plus, get general strategies for handling the development process, including how to use source control and issue tracking systems effectively.

🔅 Building Tools with Python

🔊 Author: Scott Simpson
🔸 Date: 2020-02-04
⏰ Duration: 56m

🌀 Streamline workflows by developing custom tools with Python. Learn about designing for end users, craftsmanship, and trust as they relate to building small software utilities.

📗 Topics: Python

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